Foundations and Trends® in Machine Learning· 2017Q1
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations Part 2 Applications and Future Perspectives
- 221citations
- Q1SCImago
- 2017year
Short summary
Tensor networks, specifically Tensor Train (TT) and Hierarchical Tucker (HT) decompositions, enable super-compressed data representation and distributed computation, overcoming the curse of dimensionality in machine learning and data analytics.
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Computational MathematicsMathematics